Advanced Prompt Engineering for AWS

Advanced prompt engineering for AWS goes beyond basic prompts. By using techniques like chain-of-thought reasoning, few-shot learning, and iterative refinement, you can guide AI to deliver smarter, context-aware solutions that actually work within real-world project constraints. In this post, I share the methods I use on client projects to turn AI into a true consulting partner.

Prompt Engineering for AWS: Why I Started Having Real Conversations with AI

Prompt engineering for AWS has transformed the way I work in cloud consulting. By learning to give AI tools like Amazon Q and Amazon Bedrock the right context, constraints, and roles, I’ve gone from getting generic answers to receiving tailored, cost-saving solutions. In this post, I share the practical techniques that turn AI into a true partner for solving complex AWS challenges.

AI isn’t always the answer: When Generative AI is not it

Explore when Generative AI isn’t the best tool and why traditional machine learning models often provide better solutions in specific scenarios.

AI-powered document classification at PICA Group

At a glance PICA Group sought to improve the efficiency and accuracy of its document processing workflows by exploring AI-driven…

Create a Virtual assistant using Amplify Gen 2 and AWS Bedrock

Discover how to build a powerful virtual assistant using AWS Amplify Gen 2 and AWS Bedrock, integrating advanced AI capabilities.

NEOS is redefining customer service in the life insurance industry with generative AI

Cevo has partnered with leading life insurance brand NEOS to use generative AI to radically improve the efficiency of managing…

Automated machine learning for Australian financial services company

By leveraging Machine Learning Ops, our customer was able to improve their fraud detection model to identify more sophisticated fraud…